Category Archives: Artificial Intelligence

Recently, Hisham Daoud and Magdy Bayoumi of the University of Louisiana at Lafayette have introduced a completely newArtificial Intelligence (AI) system that predicts epilepsy seizures. According to the World Health Organizations reports, around 50 million people around the world are suffering from epilepsy and 70% of those patients can control the seizures through medications.

The new AI technology shows 99.6% accurate results, and the best thing about it is that it predicts the attacks an hour before it happens. In this way, the patient can gear up for it and take medications that can prevent its occurrence. Having enough time to control the attack is what a patient needs.

Some might be thinking that its the perfect cure and prediction strategy for the epilepsy patients, but its not; however, it is definitely something big in the market. Right now, there are many other options as well that does the work, for instance, electroencephalogram (EEG) tests to evaluate the brain activity to predict the condition.

This new AI technology performs both EEG tests and applies predictive models simultaneously to predict seizures. The deep learning algorithms in the technology allows predicting the electrical channels lightning that happens only during a seizure.

Currently, this technology is not available worldwide and there is some time before it does so. Right now, the team of this technology is busy working on a custom chip that can make the process further easier.

It is definitely good news for epilepsy patients and more improvement in the technology will only bring good outcomes for them.

Source: IEEE spectrum / IEEE.

Read next: Effects of Social Media on the Mental Health of Young People!

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Epileptic Seizure Prediction becomes much easier with the new Artificial Intelligence technology - Digital Information World

Artificial intelligence (AI) is more than just cyborgs in movies trying to destroy humanity. It has actual real-world applications that can make our lives better and our businesses stronger and more profitable. In retail, artificial intelligence is being adopted rapidly - between 2016 and 2018 there was a 600% increase in adoption. Unfortunately the adoption rate is still relatively low, ranging from 26% for home improvement stores to 33% for apparel and footwear. If AI can make such a big difference, why isnt everyone adopting it?

Currently, only 15% of companies are saying they are spearheading AI adoption. Only 25% of large retailers are investing up to 10% of their capital in artificial intelligence systems, while all other size retailers are spending just 7%. Implementation of AI is costly, but those who use it are finding the benefits far outweigh the costs.

Customer service is one of the most successful use-cases for artificial intelligence yet. Customer-facing AI can improve customer satisfaction by 9%, reduce customer complaints by 8%, and can lower customer churn by 5%, all in the early stages. As this technology improves, it can help even more with customer satisfaction. Currently, voice technology is being programmed that can emulate and mirror human emotions better, mimicking empathy and deescalating tense customer service situations. But even just getting people to the right customer service representative when they call a call center can help get customers the right remedy to their situation.

Chatbots and virtual assistants are an extension of this technology that are used to assist customers who arent having a problem. They can help assist customers in finding the right item to buy, finding new items to try, and learning more about what they are buying. In fashion, AI and chatbots are being used to help customers find new clothing looks based on what they like. In the spirits business, Brown-Forman has a Whiskey Whisperer that can help customers learn more about whiskey, find new products, and find cocktail recipes to try.

AI is also helping to streamline the shopping experience. In Amazon Go stores, cameras and AI mean that customers can take items off the shelves, bag them and walk out of the store, saving time in the checkout line, as the system rings things up as you go and automatically charges you as you walk out the door.

Throughout the supply chain, AI can be used to streamline operations. In production, AI can be used to forecast orders, schedule workers optimally, and even create a schedule that will utilize electricity more efficiently. In shipping, AI can help ensure trucks are completely full so empty space isnt being shipped. It can also optimize shipping routes to save on time and fuel. In retail, AI can be used to optimize ordering so that valuable inventory isnt sitting around collecting dust.

Artificial intelligence is often portrayed as something that is going to destroy mankind in the movies, but in reality most of the real-life applications are pretty mundane and most are actually beneficial. As AI is adopted in more aspects of the retail landscape, there will certainly be bumps in the road. But the end product will be a stronger, more agile sector of the economy that serves both customers and businesses better. Learn more about the future of retail with AI from the infographic below!

Read next: From Science Fiction To Reality With Artificial intelligence (infographic)

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The Future Of Artificial Intelligence In Retail - Digital Information World

Artificial intelligence has helped archaeologists uncover an ancient lost work of art.

The Nazca Lines in Peru are ancient geoglyphs, images carved into the landscape. First formally studied in 1926, they depict people, animals, plants, and geometric shapes. The formations vary in size, with some of the biggest running up to 30 miles long. Their exact purpose is unknown, although some archaeologists think they may have had religious or spiritual significance. Local guides believe the lines relate to sources of water.

Some Nazca lines span miles of Peruvian countryside. Flickr/Christian Haugen

New geoglyphs are still being discovered and can be hard to spot due to changes in the landscape, with natural erosion and urbanization breaking them up.

A research team from Yamagata University recently announced it had discovered 142 new Nazca formations, including images of birds, monkeys, fish, snakes, and foxes.

The team partnered with IBM to try and train its deep-learning platform Watson to look for hard-to-find geoglyphs.

They fed the AI with aerial images to see if it could spot any more Nazca outlines. Watson threw up a few candidates, from which the researchers picked the most promising. Sure enough, their field work confirmed the AI had found an ancient Nazca artwork.

The find was a relatively small depiction of a humanoid figure spanning just 16 feet. The researchers estimate the figure dates from roughly 100 BC to AD 100, making it at roughly 2,000 years old.

The project's success has prompted Yamagata University to announce a more prolonged partnership with IBM, and will create a full location map of the geoglyphs to help future archaeologists.

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Scientists used IBM Watson to discover an ancient humanoid stick figure - Business Insider

Speaking at BlockShow Asia 2019, Todalarity CEO Toufi Saliba posed a hypothetical question to the audience: How many people would take a pill that made you smarter, knowing they can be controlled by a social entity?

No one raised their hand, and he was unsurprised.

Thats the response that I get, zero percent of you, he continued. Now imagine at the same time the pill has autonomous decentralized governance so that no one can control or repurpose that pill but the host yourself.

This time hands were raised in abundance. Decentralized governance represents a necessary step for the tech community to build up a trust in digital developments related to securely managing big data.

Economics and ethics can go together thanks to decentralization, commented SingularityNET CEO Ben Goertzel.

But does the decentralized governance represent a step forward from centralization, or it is just an illusion of evolution? Cole Sirucek, co-founder of DocDoc, shared his vision:

It is when we are at a point of centralizing data that you can begin to think about decentralization. For example, electronic medical records: in five years the data will be centralized. After that, you can decentralize it.

Goertzal didnt fully agree: I dont think it is intrinsic. The reason centralized systems are simpler to come by is how institutions are built right now. There is nothing natural about centralization of data. He elaborated on the mutual dependence of two important technologies:

Blockchain is not as complex as AI, but it is a necessary component of the future. Without BTC, you dont have means of decentralized governance. AI enables the future, blockchain secures it.

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Artificial Intelligence Will Enable the Future, Blockchain Will Secure It - Cointelegraph

Discussions, articles, and reports about the AI opportunity across the financial services industry continue to proliferate amid considerable hype around the technology, and for good reason: The aggregate potential cost savings for banks from AI applications is estimated at $447 billion by 2023, with the front and middle office accounting for $416 billion of that total, per Autonomous Next research seen by Business Insider Intelligence.

Most banks (80%) are highly aware of the potential benefits presented by AI, per an OpenText survey of financial services professionals. In fact, many banks are planning to deploy solutions enabled by AI: 75% of respondents at banks with over $100 billion in assets say they're currently implementing AI strategies, compared with 46% at banks with less than $100 billion in assets, per a UBS Evidence Lab report seen by Business Insider Intelligence. Certain AI use cases have already gained prominence across banks' operations, with chatbots in the front office and anti-payments fraud in the middle office the most mature.

The companies mentioned in this report are: Capital One, Citi, HSBC, JPMorgan Chase, Personetics, Quantexa, and U.S. Bank

Here are some of the key takeaways from the report:

In full, the report:

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AI IN BANKING: Artificial intelligence could be a near $450 billion opportunity for banks - here are the strat - Business Insider India

This is a preview of a research report from Business Insider Intelligence. To learn more about Business Insider Intelligence, click here. Current subscribers can log in and read the report here.

New technology is disrupting legacy automakers' business models and dampening consumer demand for purchasing vehicles. Tech-mediated models of transportation - like ride-hailing, for instance - are presenting would-be car owners with alternatives to purchasing vehicles.

In fact, a study by ride-hailing giant Lyft found that in 2017, almost 250,000 of its passengers sold their own vehicle or abandoned the idea of replacing their current car due to the availability of ride-hailing services.

This will enable automakers to take advantage of what will amount to billions of dollars in added value. For example, self-driving technology will present a $556 billion market by 2026, growing at a 39% CAGR from $54 billion in 2019, per Allied Market Research.

But firms face some major hurdles when integrating AI into their operations. Many companies are not presently equipped to begin producing AI-based solutions, which often require a specialized workforce, new infrastructure, and updated security protocol. As such, it's unsurprising that the main barriers to AI adoption are high costs, lack of talent, and lack of trust. Automakers must overcome these barriers to succeed with AI-based projects.

In The AI In Transportation Report, Business Insider Intelligence will discuss the forces driving transportation firms to AI, the market value of the technology across segments of the industry, and the potential barriers to its adoption. We will also show how some of the leading companies in the space have successfully overcome those barriers and are using AI to adapt to the digital age.

Here are some key takeaways from the report:

In full, the report:

The choice is yours. But however you decide to acquire this report, you've given yourself a powerful advantage in your understanding of AI in transportation.

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THE AI IN TRANSPORTATION REPORT: How automakers can use artificial intelligence to cut costs, open new revenue - Business Insider India

Department of Defense officials routinely talk about the need to more fully embrace machine learning and artificial intelligence, but one leader in the Marine Corps said those efforts are falling short.

Were not serious about AI. If we were serious about AI we would put all of our stuff into one location, Lt. Gen. Eric Smith, commander of the Marine Corps Combat Development Command and the Deputy Commandant for Combat Development and Integration, said at an AFCEA Northern Virginia chapter lunch Nov. 15.

Smith was broadly discussing the ability to provide technologies and data thats collected in large quantities and pushed to the battlefield and tactical edge. Smith said leaders want the ability to send data to a 50-60 Marine cell in the Philippines that might be surrounded by the Chinese. That means being able to manage the bandwidth and signature so that those forces arent digitally targeted. That ability doesnt currently doesnt exist, he said.

He pointed to IBMs Watson computer, noting that the system is able to conduct machine learning and artificial intelligence because it connects to the internet, which allows it to draw from a much wider data pool to learn from. Military systems arent traditionally connected to the broader commercial internet, and thus are limited from a machine learning sense.

We have stovepipes of excellence everywhere from interagency, CIA, NSA. The Navys got theirs, Marine Corps got theirs, everybodys got theirs. You cant do AI when the machine cant learn from one pool of data, he said.

Brown noted that he was not speaking on behalf of the entire department.

Pentagon leadership has come to similar conclusions. Top officials have noted that one of the critical roles the Joint Enterprise Defense Infrastructure cloud program will do is provide a central location for data.

The warfighter needed enterprise cloud yesterday. Dominance in A.I. is not a question of software engineering. But instead, its the result of combining capabilities at multiple levels: code, data, compute and continuous integration and continuous delivery. All of these require the provisioning of hyper-scale commercial cloud, Lt. Gen. Jack Shanahan, director of the Joint AI Center, said in August. For A.I. across DOD, enterprise cloud is existential. Without enterprise cloud, there is no A.I. at scale. A.I. will remain a series of small-scale stovepipe projects with little to no means to make A.I. available or useful to warfighters. That is, it will be too hard to develop, secure, update and use in the field. JEDI will provide on-demand, elastic compute at scale, data at scale, substantial network and transport advantages, DevOps and a secure operating environment at all classification levels.

Overall, Smith said that industry should start calling out DoD when policies or technical requirements hinder what it can offer.

If were asking for something that is unobtanium or if our policies are keeping you from producing something we can buy, youve got to tell us, he said

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One way for the Pentagon to prove it's serious about artificial intelligence - C4ISRNet

Microsoftsrecent victoryin landing a $10 billion Pentagon cloud-computing contract called JEDI could make life more complicated for one of the software giants partners: the independent artificial-intelligence research lab OpenAI.

OpenAI wascreated in 2015by Silicon Valley luminaries including Elon Musk to look to the far horizon, and save the world. The newborn nonprofitsaidit had commitments totaling $1 billion and would work on AI to benefit humanity as a whole, unconstrained by a need to generate financial return. But OpenAIrestructured into a for-profitthis year, saying it needed more money to fulfill its goals, andtook $1 billionfrom Microsoft in a deal that involves helping the companys cloud division develop new AI technology.

Now Microsofts JEDI win raises the possibility that OpenAIs work for the benefit of humanity may also serve the US military.

Asked if anything would prevent OpenAI technology reaching the Pentagon, the labs CEO, Sam Altman, said its contract with Microsoft requires mutual agreement before any particular technology from the lab can be commercialized by the software giant. He declined to discuss what OpenAI might agree to or what the companys stance is on helping the US military.

Read full, original post: Can AI Built to Benefit Humanity Also Serve the Military?

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Artificial Intelligence lab OpenAI wants to develop technology 'to save the world'. Will it also assist the US military? - Genetic Literacy Project

The U.S. government, long a proponent of advancing technology for military purposes, sees artificial intelligence as key to the next generation of fighting tools.

Several recent investments and Pentagon initiatives show that military leaders are concerned about keeping up with and ahead of China and Russia, two countries that have made big gains in developing artificial-intelligence systems. AI-powered weapons include target recognition systems, weapons guided by AI, and cyberattack and cyberdefense software that runs without human intervention.

The U.S. defense community is coming to understand that AI will significantly transform, if not completely reinvent, the worlds military power balance. The concern is more than military. As Chinese and Russian technologies become more sophisticated, they threaten U.S. domination of technological innovation and development, as well as global economic power and influence.

Military leaders see the threat to U.S. technological leadership coming from two main sources: a rising and ambitious China and a mischievous and declining Russia.

Taken together, these forces challenge global stability.

A 2018 Pentagon report noted that technological developments could change the types of threats facing the U.S., which might include space-based weapons, long-range ballistic missiles and cyberweapons.

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A February 2019 analysis warned that Chinas investments in its militarys AI systems in particular, those supporting robotics, autonomy, precision munitions and cyber warfare threaten to overtake the United States.

In addition, some Chinese and Russian projects have developed military AI systems specifically aimed at what they perceive as U.S. technological weaknesses.

For instance, swarms of armed AI-enhanced drones might locate and attack the secure computer systems countries rely on to control and launch their nuclear weapons.

So far the Pentagons actions have been largely bureaucratic, rather than concrete.

It has released a Defense Department-wide strategy document that articulates broad principles for the development and use of AI in future warfare.

The military has established a Joint Artificial Intelligence Center, which is tasked with accelerating the delivery and adoption of AI.

But projects with names like the Third Offset, Project Maven and the AI Next Campaign have minimal funding. Leaders have released few details about what they will actually do.

Working with Silicon Valley

The Pentagon has also established the Defense Innovation Unit, with permission to circumvent the cumbersome military purchasing process, to coordinate with Silicon Valley and bring new technologies into military use relatively quickly.

That unit has sparked discussions about the potential for the Chinese military to acquire and use U.S.-designed technologies, which led to U.S. bans on doing business with many Chinese technology firms.

However, China trails the U.S. in several ways.

The United States has the worlds largest intelligence budget; the most popular hardware, software and technology companies; and the most advanced cyberwarfare capabilities, both offensive and defensive.

I and other experts expect these advantages to preserve U.S. technological leadership for now, at least but perhaps not forever.

Dr. James Johnson is a Postdoctoral Research Fellow at the James Martin Center for Nonproliferation Studies (CNS) at the Middlebury Institute of International Studies, Monterey. He has published peer-review articles with journals including the Pacific Review, Asian Security, Strategic Studies Quarterly, The Washington Quarterly, Defense & Security Analysis, The Journal of Cyber Policy, and Comparative Strategy. He is the author of The US-China Military & Defense Relationship during the Obama Presidency. His latest book is titled Artificial Intelligence & the Future of Warfare: USA, China, and Strategic Stability.

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Explainer: Is the US losing the artificial intelligence arms race? - Military Times

Mozilla, the nonprofit behind the free and open-source Firefox web browser, is partnering with Montreal-based artificial intelligence startup Element AI to push for ethical use of AI.

To that effect, the two companies are exploring the idea of data trusts, a proposed data collection approach that aims to provide individuals with greater control over their personal information.

The aim, the companies said, is to offer an alternative model to the current broken consent-based system of data collection such as the EU GDPR regulations.

Its easy to see why. As artificial intelligence and machine learning (ML) continues to infiltrate different aspects of our day-to-day lives, the technology is now doing more than ever for both good and bad.

This necessitates an ethical use of such solutions to prevent misuse, and ensure therere adequate controls over the massive amounts of data accessed by these algorithms.

The data trust, therefore, acts as a steward that gets to approve and control the collection of, and manage access to, data with an eye on privacy while not sacrificing the benefits of AI and ML.

In other words,a data trust say, an independent watchdog agency sets the terms of data collection, usage, and sharing, in addition to deciding who gets to accesssaid information in a way that balances privacy and responsible use of technology.

The idea of a data trust is not new. Googles sister company Sidewalk Labs which released blueprints for its controversial Quayside smart city in Toronto back in June has set up a data governance model that places urban data under the control of an independent Civic Data Trust.

Despite the projects promises to take a privacy by designmeans to minimizing data collection and its assurances that the gathered data willnot be sold, used for advertising, or shared without peoples permission, the proposals havecourted data monetization and surveillance concerns.

With tech giants like Google, Facebook, Amazon, Apple, and Microsoft becoming the de facto data monarchs of personal information, the idea that they can potentially use your data without actually having it is sure an appealing one.

Its a widely accepted fact that most smart technologies today be it data-driven, internet-connected, or automated are rife with privacy issues.

Even as the battle to keep personal data private rages on, its expected of netizens to give up some level of privacy as the cost of admission for all the conveniences of the digital world, so much so that the existing frameworks begin to feel like mere band-aid solutions.

The tacit agreement between individuals and the powerful digital institutions that profit from the data gathered by profiling its users has led to a privacy paradox, with users left with no choice but to hit accept and move on.

Its therefore essential that new cybernated governancemethods are engineered to tackle the aforementioned disconnect and decouple personal data from the companies who need them in order to offer their services, ad-supported or otherwise.

Whether its by making individuals data shareholders, offering privacy as a paid service, or entrusting data in the hands of an independent data trust, its time to address the need for owning personal data so that privacy can be what it is a fundamental human right that cannot be taken or given away.

Read next: You need a zero-trust strategy to protect your business from cyberattacks

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Mozilla and Element AI want to build 'data trusts' in the artificial intelligence age - The Next Web